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3D Ultrasound Volume Stitching Using Phase Symmetry and Harris Corner Detection for Orthopaedic Applications
 

Summary: 3D Ultrasound Volume Stitching Using Phase Symmetry and Harris
Corner Detection for Orthopaedic Applications
Rupin Dalvia1
Ilker Hacihaliloglua
, Rafeef Abugharbieha
a
Biomdedical Signal and Image Computing Laboratory, Department of Electrical and Computer
Engineering, University Of British Columbia (UBC)
ABSTRACT
Stitching of volumes obtained from three dimensional (3D) ultrasound (US) scanners improves visualization of anatomy
in many clinical applications. Fast but accurate volume registration remains the key challenge in this area.We propose a
volume stitching method based on efficient registration of 3D US volumes obtained from a tracked US probe. Since the
volumes, after adjusting for probe motion, are coarsely registered, we obtain salient correspondence points in the central
slices of these volumes. This is done by first removing artifacts in the US slices using intensity invariant local phase
image processing and then applying the Harris Corner detection algorithm. Fast sub-volume registration on a small
neighborhood around the points then gives fast, accurate 3D registration parameters. The method has been tested on 3D
US scans of phantom and real human radius and pelvis bones and a phantom human fetus. The method has also been
compared to volumetric registration, as well as feature based registration using 3D-SIFT. Quantitative results show
average post-registration error of 0.33mm which is comparable to volumetric registration accuracy (0.31mm) and much
better than 3D-SIFT based registration which failed to register the volumes. The proposed method was also much faster

  

Source: Abugharbieh, Rafeef - Department of Electrical and Computer Engineering, University of British Columbia

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences